A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability.
Saved in:
| Title: | A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability. |
|---|---|
| Authors: | Sun M; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China., Wang L; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China., Yang J; Experimental Teaching Center of Biotechnology, School of Bioscience and Technology, Chengdu Medical College, Chengdu, China.; Key Laboratory of Target Discovery and Protein Drug Development in Major Diseases at Chengdu Medical College of Sichuan Province, Chengdu, China.; Irradiation Preservation and Effect Key Laboratory of Sichuan Province, Chengdu, China. |
| Source: | Medicine [Medicine (Baltimore)] 2026 Apr 24; Vol. 105 (17), pp. e48376. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 2985248R Publication Model: Print Cited Medium: Internet ISSN: 1536-5964 (Electronic) Linking ISSN: 00257974 NLM ISO Abbreviation: Medicine (Baltimore) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42071837 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sun+M%22">Sun M</searchLink>; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China.<br /><searchLink fieldCode="AU" term="%22Wang+L%22">Wang L</searchLink>; Department of Otolaryngology, The First Affiliated Hospital of Chengdu Medical College, Chengdu China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; Experimental Teaching Center of Biotechnology, School of Bioscience and Technology, Chengdu Medical College, Chengdu, China.; Key Laboratory of Target Discovery and Protein Drug Development in Major Diseases at Chengdu Medical College of Sichuan Province, Chengdu, China.; Irradiation Preservation and Effect Key Laboratory of Sichuan Province, Chengdu, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%222985248R%22">Medicine</searchLink> [Medicine (Baltimore)] 2026 Apr 24; Vol. 105 (17), pp. e48376. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Lippincott+Williams+%26+Wilkins%22">Lippincott Williams & Wilkins </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>2985248R <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1536-5964 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200257974%22">00257974 </searchLink><i>NLM ISO Abbreviation: </i>Medicine (Baltimore) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42071837 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1097/MD.0000000000048376 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e48376 Titles: – TitleFull: A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sun M – PersonEntity: Name: NameFull: Wang L – PersonEntity: Name: NameFull: Yang J IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 04 Text: 2026 Apr 24 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1536-5964 Numbering: – Type: volume Value: 105 – Type: issue Value: 17 Titles: – TitleFull: Medicine Type: main |
| ResultId | 1 |
